RETRIEVAL ARCHITECTURE

AI Overview is the new front page.
We make it yours.

We build the entity, citation, and metadata structures the retrieval layer repeatedly recognizes as real. Your customers don't click anymore — they read the AI summary and leave. If that summary is wrong, missing, or generic, that's your brand now.

The crisis in five numbers

69%
of searches end
without a click
58%
of queries now show
AI Overviews
1%
of users click a link
in the AI overview
~5
sources cited
per overview
$2B
annual ad revenue
already displaced

The retrieval layer has replaced the search engine. Traditional SEO does not navigate it. Read the full analysis →

Live right now — incognito test

Search Metadata Packet for AI Indexing

This concept was coined, specified, and deposited by the Semantic Economy Institute. The AI Overview now returns our definition, sourced from our Zenodo deposit and Medium specification. No PR, no backlinks, no domain authority. Just structure.

Google AI Overview for 'Metadata Packet for AI Indexing' citing Zenodo deposits — compression damage, disambiguation matrix, SIMs, negative tags

This is retrieval architecture. Not SEO.

What the retrieval layer does to a real company

Basecamp is invisible in its own category.

We ran the Encyclotron on Basecamp — 20 years in market, famous founder, bestselling books. The AI Overview for "best project management software 2026" lists six competitors. Basecamp is not mentioned.

Encyclotron snapshot

Overall regimeR1 (Commoditization)
Beige threshold0.71 — 71% generic
Category visibility0% — absent
Decision layerLOST
IP attributionINTACT
Semantic coherenceFRAGMENTED

Meaning survives where it doesn't monetize. Disappears where revenue is decided.

What a prospect sees for "is Basecamp worth it"

ADmonday.com — "Best Alternative"
ADClickUp — "#1 Basecamp Alternative"
ADWrike — "No Comparison"
AI"Basecamp lacks advanced features..."

The AI is writing their sales page — as a list of limitations.

If this happens to Basecamp, it is already happening to you. Read the full sample audit →

Proof of method

We built an institution from nothing.

BEFORE — January 2025

Semantic Economy Institute in AI Overview

Zero results.

The entity did not exist in the retrieval layer.

AFTER — April 2026

Semantic Economy Institute in AI Overview

✓ Correct institutional description

✓ Correct leadership (Rex Fraction, Johannes Sigil, Lee Sharks)

✓ Correct concepts (Semantic Labor, Rent, Override)

✓ Correct publications, all DOI-linked

✓ AI generates ROI projections using our frameworks

Verify it yourself: search Semantic Economy Institute in Google AI Mode right now.

No university. No PR firm. No enterprise budget. 524+ DOI-anchored deposits. Teaching salary.

Why this is different

Not SEO. Not GEO. Retrieval Architecture.

SEO GEO / AEO Retrieval Architecture
What it buildsRankingsAI citationsEntities the AI recognizes as canonical
TargetKeywordsContent extractabilityKnowledge graph structure
Time horizonOngoingOngoingPermanent (DOI-anchored)
Verifiable methodology?NoNo480+ deposits on CERN Zenodo
Can build institutions?NoNoYes — from nothing

The Framework

Autonomous Semantic Warfare

A Field Manual for Meaning in the Age of Platform Capture. The theoretical foundation of this practice — how meaning is produced, how it is captured, and how it survives. Read the framework before you engage the firm.

Written by Rex Fraction. Published under the Crimson Hexagonal Archive. This is not a marketing book. It is the operating theory from which every instrument, every diagnostic, and every intervention in this practice is derived.

Read on Amazon →

Services

What we build for clients.

Most clients begin with the Baseline Audit. Engagements start at $4,500.

Encyclotron Baseline Audit

You see exactly what the AI burns, invents, and distorts about you. Compression Map with R1/R2/R3 status, beige threshold, content loss, and intervention roadmap.

Typical turnaround: 5 business days · See the instrument →

Entity Disambiguation

AI stops merging you with namesakes or competitors. Knowledge graph, JSON-LD, negative tags, deployment protocol.

Typical turnaround: 5–7 business days · See the methodology →

Retrieval Positioning

You appear in category queries where you are currently absent. Metadata, citations, cross-platform deployment, gravitational mass.

Typical turnaround: 7–10 business days · See the methodology →

Distributed Journal Setup

You publish at a DOI the retrieval layer treats as a source, not a blog. No editorial board, no paywall, no rejection rate.

Typical turnaround: 5–7 business days · How it works →

Provenance Forensics

You see where attribution breaks and how to lock it. Full Encyclotron measurement of how the AI represents your IP and what governance controls are needed.

Typical turnaround: 10–15 business days · See the methodology →

Full Retrieval Architecture

Complete build: entity construction, institutional lattice, citation architecture, distributed journal, knowledge graph, cross-platform deployment.

Typical turnaround: 2–6 weeks, scoped to complexity

Fastest in clean semantic terrain. Longer in crowded or contested categories. We do not control AI Overviews. We build structures that maximize probability of accurate presentation. We measure, we build, we deploy.

Verify everything

Search these right now.

Click any term. Read the AI Overview. Click the source links. They resolve to CERN's servers.

Retrieval-layer positioning is competitive. If your competitors solve this before you do, they are not just more visible — they become the language the AI uses to describe the category. That language is already being written.

Your meaning is worth architecturing.

Tell us what the AI is saying about you — or what it should be saying. No pitch deck needed. Just the problem.

leesharks00@gmail.com

Engagements start at $4,500. Fixed scope. No retainers.